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Abstract #2373

Reliable Fitting of Phase Data Without Unwrapping by Wrapping the Fit Model

Martin Krmer1, Tim Sprenger1, Karl-Heinz Herrmann1, Jrgen R. Reichenbach1

1Medical Physics Group, Department of Diagnostic and Interventional Radiology I, Jena University Hospital, Jena, Germany

One dimensional phase unwrapping can be sensitive to noise or inhomogeneities in the phase data. Reliable analysis of 1D phase data however, often is a crucial pre-processing step for many image reconstruction algorithms (e.g.a EPI ghost correction, multi-echo field maps, ...). In our work we present a method that does not require phase unwrapping for fitting a known model to any measured 1D phase distribution. The only preliminary information required for the method to work is the function of the fit model for which the fit parameters are to be extracted from the phase data.

Keywords

able accuracy acquiring acquisition aimed aims although analyzing application applied automated avoided avoiding bandwidth becomes becoming bounded built calculating calibration central clear combined component conceivable containing continuous correct correction cost course create crucial dataset degraded demonstrating demonstration dependency desired detect develop diagnostic dimensional distribution distributions easily echoes effectively encoding entire even example exemplary extract extraction failed fails faulty field find fitted fitting function gained ghost hospital important increasingly inhomogeneities input insensitive instead interval jump jumps known linear making many martin matching matrix measured medical minimization minimized minimizing model models much necessary nevertheless noise noisy object offset operator opposite outliers package particular phantom physics played plays processing properly proposed quality quickly radiology readout readouts reasonable recommendable reconstruction reliability reliable require respectively retrieved reverse robust robustness role since slope software space spatial start steps still strong substantial system temporal towards trajectory trans trio typical unwrapped unwrapping user visible whereat wrap wrapped wrapping wraps